Company Overview:Recognized as a Milwaukee Journal Sentinel Top Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. Wexe2x80x99re committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities. Job Summary:Join our expanding data science team at West Bend and directly impact the profitability of a leading P&C insurer. As a Senior Data Scientist, youxe2x80x99ll develop and deploy cutting-edge predictive models for Pricing, Underwriting and Claims, leveraging a modern cloud stack (Databricks, Snowflake, Azure). Collaborate with key stakeholders across the business and utilize your expertise in Python, R, SQL and other modern modeling tools to drive strategic decisions and shape the future of insurance analytics. This is your chance to lead high-impact initiatives and grow your career in a dynamic, data-driven environment.This position offers a hybrid work schedule. Candidates who are located within 50 miles of a West Bend office location will work a hybrid schedule (3 days in office) for collaboration days, team meetings or other in-person events. The position can be based in West Bend, Madison or Appleton. Responsibilities & Qualifications:Responsible for analysis and modeling of P&C insurance business problems and discovering business insights using statistical, algorithmic, data-mining and visualization techniques. Contributes to organizational performance by providing senior leadership with insights and analysis for decision making. This includes developing and applying analytics, algorithms, or models to key business metrics with the goal of improving pricing accuracy, underwriting/claim efficiency, or answering other business questions. Translating business needs into analytics/reporting requirements to support executive decisions and workflows with required information. Document, present, and support predictive modeling work in a clear manner for business users or regulators to follow. Understands and prioritizes data and information requirements in the development of unique and ad-hoc analytical data. Identifies available internal and external data sources and develops and executes solutions to meet business needs. Collaborates with other business functions to turn high-level concepts into practical model solutions. Distributes best practices to analytics and product teams and provides consultations for their data-projects. Works with vendors to review/evaluate external data and models for potential use.Preferred Experience and Skills
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